ai scientist

Sompo Teknoloji

<div>
 <p>
  Sompo Technology was founded in August 2024 by Sompo Insurance T&uuml;rkiye, a leader in non-life insurance products. Based at &Idot;T&Uuml; ARI Teknokent, Sompo Technology is committed to shaping the future of insurance through artificial intelligence and advanced technology, driving innovation to enhance the customer experience.
 </p>
 <p>
  Sompo Insurance, established in 1888 as Japan&rsquo;s first fire insurance company, has over 130 years of history. Today, it operates in 29 countries with approximately 75,000 employees worldwide. Sompo is looking for &ldquo;
  <strong>
   Data &amp; AI Scientist
  </strong>
  &rdquo; to take part in its growing team.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Istanbul (Head Office), Izmir / Ankara / Antalya (Regions) - Hybrid
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your Profile &amp; Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Expertise level will be determined based on the candidate as new grad, junior, mid, senior
  </li>
  <li>
   Part time option is available for PhD or master&rsquo;s students
  </li>
  <li>
   Bachelor&rsquo;s degree from a reputable university is a preferred and PhD or master&rsquo;s degree is a plus.
  </li>
 </ul>
 <p>
  <strong>
   Statistics &amp; Data Science Expertise
  </strong>
 </p>
 <ul>
  <li>
   Passion for statistics and a strong statistical mindset
  </li>
  <li>
   Utilize statistical techniques to analyze business problems and develop solutions
  </li>
  <li>
   Build data science models for the insurance sector, leveraging statistical methods, predictive analytics, anomaly detection, clustering, and optimization
  </li>
 </ul>
 <p>
  <strong>
   Business &amp; Decision-Making Support
  </strong>
 </p>
 <ul>
  <li>
   Collaborate with business and IT units to develop analytical solutions that enhance decision-making
  </li>
  <li>
   Actively communicate with business units to identify potential project opportunities
  </li>
  <li>
   Align data-driven projects with company OKRs and strategic vision
  </li>
  <li>
   Eager to learn from the data analytics team while actively sharing insights and expertise
  </li>
 </ul>
 <p>
  <strong>
   Analytical Infrastructure &amp; Operations
  </strong>
 </p>
 <ul>
  <li>
   Work with KNIME, SQL, Python, WTW Emblem/Radar, and similar tools
  </li>
  <li>
   Supervise and maintain the analytics data warehouse environment
  </li>
  <li>
   Oversee deployed analytics models and ensure their reliability
  </li>
  <li>
   Document solutions and processes for future reference
  </li>
  <li>
   Contribute to the productization of data science solutions
  </li>
 </ul>
 <p>
  <strong>
   AI Research &amp; Innovation in Insurance
  </strong>
 </p>
 <ul>
  <li>
   Conduct AI research, implement contemporary innovations, and adapt them for insurance applications
  </li>
  <li>
   Leverage Generative AI / LLM for insurance business cases
  </li>
  <li>
   Contribute to IT coding practice transformations using Generative AI / LLM
  </li>
  <li>
   Explore and utilize big data environments, languages, and tools (e.g., Cloudera, Spark, Hive, Impala) to develop solutions tailored for insurance
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   WHAT WE OFFER?
  </strong>
 </p>
 <ul>
  <li>
   Hybrid Model,
  </li>
  <li>
   Employee Discounts,
  </li>
  <li>
   Company Supported Private Pension Insurance,
  </li>
  <li>
   Employee Support Program (AVITA),
  </li>
  <li>
   Social Clubs,
  </li>
  <li>
   Sompo Academy "Training and Developments Opportunities",
  </li>
  <li>
   Private Health Insurance &amp; Life Insurance,
  </li>
  <li>
   Meal Card &amp; Shuttle Opportunity,
  </li>
  <li>
   Technology &amp; Communications Benefit,
  </li>
  <li>
   MBA/Master Opportunities,
  </li>
  <li>
   Mentoring,
  </li>
  <li>
   Onboarding Programme (Orientation, Buddy etc.).
  </li>
 </ul>
 <p>
  If you want to get more information about Sompo Sigorta, you can follow
  <strong>
   @sompokariyer
  </strong>
 </p>
</div>


Data & AI Scientist

MEADOW AI

<p><b>About Meadow</b></p><p>Meadow is building AI-powered tools to help restaurants run more efficiently. We replace traditional security cameras with smart vision systems that not only keep an eye on things but also provide real-time business insights&mdash;like spotting long lines, bottlenecks, ingredient usage, upsell attempts, and more to improve customer satisfaction. Our goal is to give restaurants the data they need to operate smarter, faster, and more profitably.</p><p>We are a seed-stage start-up. You would be the second AI scientist to join! We already have three customer contracts, with several more strong prospects in the pipeline. As we continue to grow, we&rsquo;re focused on expanding our technology and proving its impact.</p><p><b>Senior Applied AI Scientist</b></p><p>Meadow is looking for a Senior Applied AI Scientist who&rsquo;s comfortable working across different types of AI models&mdash;vision, audio/language, and forecasting/anomaly. You don&rsquo;t need extensive experience in all three domains, but you should understand how deep learning models are built and how to adapt them to new challenges.</p><p>We&rsquo;re looking for strong proficiency in Python, along with familiarity with common ML libraries<b>,</b> SQL, and deployment tools to get models into production. You'll be working on things like fine-tuning models and integrating AI into real-world systems. This isn&rsquo;t a research sandbox&mdash;we need someone who can collaborate with backend engineers and make AI work in production.</p><p>If you're excited about working across different AI domains, making pragmatic technical decisions, and building something that directly impacts real businesses, we&rsquo;d love to hear from you.</p><p><b>Interview Process</b></p><p>The interview process consists of three phases: first an initial 20-minute screen, second a 1-hour technical interview focused on AI, and then three 1-hour interviews with the rest of the team.</p><p><b>Work Location</b></p><p>We are a remote-friendly company, working in US time zones (UTC-7 through UTC-4). At this time, we are unable to provide visa sponsorship.</p><p><b>Salary Range</b></p><p>The expected salary range for this role is $90,000 to $170,000, depending on experience. This position also includes an equity package.</p><p>Job Type: Full-time</p><p>Pay: $90,000.00 - $170,000.00 per year</p><p>Benefits:</p><ul><li>Dental insurance</li><li>Flexible schedule</li><li>Flexible spending account</li><li>Health insurance</li><li>Paid time off</li><li>Parental leave</li><li>Vision insurance</li></ul><p>Work Location: Remote</p>

Senior Applied AI Scientist

Solventum

<div>Thank you for your interest in joining Solventum. Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. At Solventum, people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers&rsquo; toughest challenges. While we continue updating the Solventum Careers Page and applicant materials, some documents may still reflect legacy branding. Please note that all listed roles are Solventum positions, and our Privacy Policy: https://www.solventum.com/en-us/home/legal/website-privacy-statement/applicant-privacy/ applies to any personal information you submit. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.<p></p><p><b>
Job Description:</b></p><p></p><p><b>
AI Scientist &ndash; Modern AI Applications</b></p><p></p><p><b>
The Impact You&rsquo;ll Make in this Role</b></p><p>
As a <b>Principal AI Scientist</b> with deep expertise in <b>Agentic AI</b>, <b>Generative AI</b>, and <b>Natural Language Understanding (NLU),</b> you will lead high-impact technical innovation in HIS applications. In this role, you will be a <b>hands-on research and development leader</b> - driving technical breakthroughs, designing novel AI architectures, and directly influencing the integration of advanced AI into mission-critical healthcare products. You will collaborate closely with other scientists, engineers, and domain experts to create solutions that are explainable, reliable, and transformative for healthcare operations.</p><div></div><p><b>
Key Responsibilities</b></p><p><b>
Research &amp; Innovation</b></p><ul><li>
Design, prototype, and evaluate novel AI models for autonomous, agent-based systems in healthcare workflows.</li><li>
Advance state-of-the-art NLU for clinical, operational, and administrative healthcare text.</li><li>
Explore and implement new capabilities in reasoning, decision-making, and multi-modal understanding.</li></ul><p><b>
Healthcare-Focused AI Development</b></p><ul><li>
Adapt and fine-tune large language models to handle healthcare-specific language, regulatory requirements, and ethical considerations.</li><li>
Create AI pipelines that can process structured and unstructured healthcare data (FHIR, HL7, clinical notes, claims data).</li><li>
Contribute to domain-specific model architectures that improve clinical decision-making, revenue cycle management, and patient engagement.</li></ul><p><b>
Technical Leadership</b></p><ul><li>
Serve as the primary technical authority on Agentic and Generative AI within project teams.</li><li>
Mentor junior AI scientists and engineers through code reviews, research guidance, and technical workshops.</li><li>
Drive internal knowledge-sharing on emerging AI trends, frameworks, and best practices.</li></ul><p><b>
Operational &amp; Compliance Excellence</b></p><ul><li>
Implement rigorous model evaluation frameworks for accuracy, robustness, and fairness.</li><li>
Ensure compliance with healthcare privacy and data security regulations (HIPAA, HITRUST).</li><li>
Partner with engineering to move research prototypes into production environments.</li></ul><div></div><p><b>
Required Qualifications</b></p><ul><li>
Master&rsquo;s in Computer Science, AI, Machine Learning, or related field AND 5+ years of experience in AI/ML, with a strong portfolio of deployed models.</li></ul><p>
Or</p><ul><li>
PhD in Computer Science, AI, Machine Learning, or related field AND 5+ years of experience in AI/ML, with a strong portfolio of deployed models.</li></ul><ul><li>
Proficiency in Python, R, and modern ML libraries.</li><li>
Experience with GenAI, LLMs, and transformer architectures.</li><li>
Skilled with AI development tools and frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, RAG systems).</li><li>
Hands-on experience with autonomous AI agents and reasoning systems.</li><li>
Strong track record applying AI to healthcare or life sciences use cases.</li><li>
Familiarity with cloud platforms (AWS) and MLOps practices.</li><li>
5+ years of experience managing direct reports (hiring, performance reviews, etc.)</li></ul><p><b>
Preferred Skills</b></p><ul><li>
Multi-modal AI research experience (text, image, structured data).</li><li>
Knowledge graph integration and symbolic reasoning expertise.</li><li>
Proven ability to take AI research from concept to production.</li></ul><p></p><p>
For current employees, internal transfer restrictions may not apply. For more details, contact your local recruiter/HR team.</p><p></p><p>
Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers.</p><p></p><p>
Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain of <b>@solventum.com</b>. Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains.</p><p></p><p><b>
Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.</b></p><p></p><p><b>
Solventum Global Terms of Use and Privacy Statement</b></p><p><br>
Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Solventum are conditioned on your acceptance and compliance with these terms.</p><p></p><p>
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terms.</p></div>

AI Scientist – Modern AI Applications

Stellar Solutions

<div><p><b>Job Title: AI Research Scientist</b><br>
<b>Location:</b> 100% Remote (India)<br>
<b>Duration:</b> 12-month Contract</p>
<p></p><h2 class="jobSectionHeader"><b>About the Role</b></h2>
<p>We are seeking a highly skilled <b>AI Research Scientist</b> with a strong background in applied AI research, mathematical optimization, and algorithm design. The ideal candidate will combine research expertise with hands-on development skills to design, test, and deploy advanced AI/ML solutions in real-world settings.</p>
<p></p><h2 class="jobSectionHeader"><b>Key Responsibilities</b></h2>
<ul><li><p>Research, design, and implement novel AI/ML algorithms and optimization frameworks.</p>
</li><li><p>Develop and deploy solutions in domains such as <b>language models, computer vision, signal processing, generative AI, agentic AI, and digital twins</b>.</p>
</li><li><p>Apply advanced <b>mathematical programming and optimization techniques</b> to real-world business problems.</p>
</li><li><p>Work with <b>graph theory, knowledge graphs, and large-scale data architectures</b> (Neo4j, cuGraph).</p>
</li><li><p>Build, train, and optimize models using <b>deep learning frameworks (PyTorch, TensorFlow)</b>.</p>
</li><li><p>Leverage <b>GPU-accelerated computing</b> (CUDA, Rapids, NeMo, NIM) for high-performance AI solutions.</p>
</li><li><p>Collaborate with cross-functional teams including researchers, engineers, and business stakeholders.</p>
</li><li><p>Document research findings, contribute to publications, and share results through technical reports or academic papers.</p>
</li><li><p>Ensure responsible AI practices including fairness, interpretability, and ethical AI usage.</p>
</li></ul><p></p><h2 class="jobSectionHeader"><b>Required Qualifications</b></h2>
<ul><li><p>PhD in <b>Computer Science, Applied Mathematics, Engineering, or related field</b> with focus on AI/Optimization.</p>
</li><li><p>3&ndash;5 years of applied AI research and deployment experience.</p>
</li><li><p>Strong foundation in <b>linear algebra, probability, stochastic processes, and optimization theory</b>.</p>
</li><li><p>Expertise in <b>algorithm design, linear/non-linear programming, convex optimization, or combinatorial methods</b>.</p>
</li><li><p>Hands-on experience with <b>neural networks, transformers, diffusion models, or generative modeling</b>.</p>
</li><li><p>Skilled in <b>Python and C++</b> programming (CUDA experience is a plus).</p>
</li><li><p>Strong knowledge of <b>AI frameworks and libraries</b> (PyTorch, TensorFlow).</p>
</li><li><p>Familiarity with <b>GPU accelerated computing, version control, and containerization (Docker, Kubernetes)</b>.</p>
</li><li><p>Excellent problem-solving, analytical, and communication skills.</p>
</li></ul><p></p><h2 class="jobSectionHeader"><b>Preferred Skills</b></h2>
<ul><li><p>Experience in <b>regulated industries</b> (finance, healthcare, insurance).</p>
</li><li><p>Knowledge of <b>Big Data technologies</b> (Spark, Kafka, Redis, Elastic Search).</p>
</li><li><p>Proficiency in <b>distributed training, hyperparameter optimization, and workflow automation</b> (GitHub Actions, Terraform, Helm).</p>
</li><li><p>Strong in <b>microservices, APIs, and large-scale real-time AI systems</b>.</p>
</li><li><p>Contributions to <b>open-source AI projects, research publications, or conference presentations</b>.</p>
</li><li><p>Familiarity with <b>Responsible AI practices</b> and fairness auditing.</p></li></ul></div>

AI Research Scientist

Cognizant Technology Solutions

<div><p><b>Neuro AI Data Scientist</b></p><p>
</p><p>Join a rapidly growing consulting and IT services Fortune 500 company with around 350,000 employees worldwide, a very flexible international business, customers that are leaders in their respective sectors, and a high level of commitment.</p><p>
</p><p><b>Cognizant Advanced AI Labs</b></p><p>
</p><p>Imagine a business that always stays ahead of market changes, anticipates customer desires, and forecasts faster and more accurately than competitors. This intelligent business knows what is happening and why it is happening and prescribes the best decisions to make. Now, Cognizant uses Evolutionary AI to model every aspect of a business to solve for multi-objective outcomes in even the most complex conditions.</p><p>
</p><p><b>Your role:</b></p><p>
You will work on a variety of projects related to analyzing and interpreting complex data sets and will play a key role in driving our data-driven decision making. You are a data scientist and Python developer with knowledge in multiple technologies; you are driven, curious and passionate about your work; you are innovative, creative and focused on excellence; and you want to be part of an ego-free work environment where we value honest, healthy interactions and collaboration.</p><p>
</p><p><b>Key responsibilities:</b></p><ul><li><p>
Assist with the collection and analysis of large data sets</p></li><li><p>
Help implement algorithms and models for data analysis</p></li><li><p>
Assist with data visualization and presentation of findings to key stakeholders</p></li><li><p>
Help maintain and improve data infrastructure</p></li><li><p>
Be a customer advocate that implements our Neuro AI offerings</p></li><li><p>
Work in a highly collaborative, fast-paced environment with your peers on the Neuro AI team</p></li></ul><p>
</p><p><b>Your profile:</b></p><ul><li><p>
Pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, Engineering or related field</p></li><li><p>
Experience with Python, Pandas, Numpy, Jupyter Notebook, GitHub</p></li><li><p>
Knowledge of data visualization tools (e.g. Matplotlib, Plotly, &hellip;)</p></li><li><p>
Experience with usage of LLMs via API calls.</p></li><li><p>
Experience with agentic-AI systems and frameworks such as Langchain, Autogen etc.is a plus</p></li><li><p>
Experience with machine learning is a plus</p></li><li><p>
Strong attention to detail and ability to work independently</p></li><li><p>
Excellent verbal and written communication skills in English</p></li></ul><p>
</p><p><b>Duration and Location:</b></p><p>
The posted job opening may be for a Temporary Fixed Term period. If the selected applicant</p><p>
is hired as a Temporary Fixed Term employee/associate, their employment with Cognizant will</p><p>
typically, be for a period of three to six months. Any extensions to the temporary employee&rsquo;s</p><p>
employment period will be solely at the discretion of Cognizant Technology Solutions.</p><p>
</p><p>Applications will be accepted until 2 Oct 2025.
</p><p></p><p><b>Salary and Other Compensation:</b></p><p>
The hourly salary for this position is between $[40/hr &ndash; 75/hr] depending on experience and other qualifications of the successful candidate and subject to the terms of Cognizant&rsquo;s applicable plans.</p></div>

Neuro AI Data Scientist

<div><p><b>Job Title:</b> AI Engineer / AI Research Scientist / Applied Scientist<br>
<b>Location:</b> 100% Remote (India)<br>
<b>Duration:</b> 12-Month Contract</p>
<p></p><h3 class="jobSectionHeader"><b>About the Role</b></h3>
<p>We are seeking a highly skilled and motivated <b>AI Engineer</b> to design, develop, and deploy cutting-edge AI/ML solutions in production-grade environments. This role requires a blend of strong software engineering expertise, deep knowledge of AI/ML frameworks, and hands-on experience in agentic AI, large-scale distributed systems, and model lifecycle management. The ideal candidate will be passionate about building intelligent systems that solve complex problems across industries.</p>
<p></p><h3 class="jobSectionHeader"><b>Key Responsibilities</b></h3>
<ul><li><p>Design, develop, and deploy AI/ML solutions with a focus on production scalability and performance.</p>
</li><li><p>Build, fine-tune, and optimize models in domains such as LLMs, computer vision, signal processing, generative AI, autonomous agents, and recommendation systems.</p>
</li><li><p>Work with agentic AI, AI reasoning, Digital Twins, and prescriptive AI for real-world applications.</p>
</li><li><p>Architect large-scale AI solutions leveraging APIs, microservices, and model versioning systems.</p>
</li><li><p>Implement distributed training, hyperparameter optimization, and model evaluation frameworks.</p>
</li><li><p>Integrate AI solutions with big data pipelines (Spark, Kafka, Redis, Elasticsearch) and cloud-native environments (AWS, Azure, GCP).</p>
</li><li><p>Develop high-performance AI workflows using GPUs (CUDA, Rapids, NeMo, NIM) and containerized systems (Docker, Kubernetes, Helm).</p>
</li><li><p>Apply Graph Theory and Knowledge Graph architectures (Neo4j, cuGraph) in AI system design.</p>
</li><li><p>Collaborate with cross-functional teams to deliver AI-powered solutions while ensuring explainability, fairness, and compliance.</p>
</li><li><p>Stay up to date with emerging AI technologies, frameworks, and research to drive innovation.</p>
</li></ul><p></p><h3 class="jobSectionHeader"><b>Required Qualifications</b></h3>
<ul><li><p>PhD in <b>Computer Science, Applied Mathematics, or related field</b> (with AI/deep learning/intelligent systems specialization preferred).</p>
</li><li><p>3&ndash;5 years of experience in <b>building and deploying AI solutions</b>.</p>
</li><li><p>2&ndash;3 years of experience in one or more domains: <b>LLMs, computer vision, signal processing, generative AI, optimization, recommendation systems, or autonomous agents</b>.</p>
</li><li><p>1+ year of hands-on experience in <b>agentic AI, AI reasoning, or prescriptive/decision AI</b>.</p>
</li><li><p>4+ years of experience in designing and deploying AI solutions in <b>production environments</b>.</p>
</li><li><p>Strong programming experience in <b>Python, C/C++, PySpark, or Java/Scala</b>.</p>
</li><li><p>Hands-on experience with <b>DL/ML frameworks</b> (PyTorch, TensorFlow, Hugging Face, LangChain, LangGraph, OpenCV).</p>
</li><li><p>Experience with <b>GPU-accelerated computing</b> (CUDA, Rapids, NeMo, NIM).</p>
</li><li><p>Proficiency in <b>cloud-native AI platforms</b> (AWS, Azure, GCP) and <b>AIOps tooling</b>.</p>
</li><li><p>Experience in <b>automated workflows</b> (GitHub Actions, Terraform, Helm) and <b>containerization</b> (Docker, Kubernetes).</p>
</li><li><p>Strong knowledge of <b>model architectures</b> (LLMs, RAG, MoE, DRL, foundation models).</p>
</li><li><p>Effective communication skills with ability to engage both technical and non-technical audiences.</p>
</li></ul><p></p><h3 class="jobSectionHeader"><b>Preferred Skills</b></h3>
<ul><li><p>Experience in regulated industries such as <b>finance, healthcare, or insurance</b>.</p>
</li><li><p>Solid understanding of deep learning architectures (CNNs, RNNs, Transformers, GANs).</p>
</li><li><p>Expertise in <b>neural networks, transformers, diffusion models, generative modeling, Bayesian inference, RL, BERT/CLIP</b>.</p>
</li><li><p>Background in <b>responsible AI/ML</b>, model interpretability, and fairness auditing.</p>
</li><li><p>Proven track record of delivering <b>large-scale, real-time AI/ML/GenAI/Agentic AI solutions</b>.</p></li></ul></div>

AI Engineer / AI Research Scientist / Applied Scientist

Autodesk

<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div>Job Requisition ID #</div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div></div>
25WD92020<div></div><div>
Position Overview</div><div></div><div>
Autodesk Research is a dynamic team of researchers, engineers, and industry domain experts who collaborate with leading academic and industry partners.</div><div>
We are seeking an AI Research Scientist specializing in Motion Generation to intern with our Media and Entertainment research team this summer. Your work will focus on exploring novel motion generation techniques using state-of-the-art Machine Learning methods. You will work with other research scientists, ML engineers, and industry experts to deploy and validate your approach in the context of a character animation workflow, with the potential to significantly enhance the character animation pipeline for professional animators.</div><div>
Our unique environment combines the best of academia with product-driven research. We have a strong track record of publishing at top-tier conferences such as NeurIPS, ICML, and SIGGRAPH, and our research also contributes to cutting-edge features in Autodesk&rsquo;s suite of products.</div><div></div><div>
Responsibilities</div><ul><li><div>
Develop and implement novel machine learning models for motion generation in the context of character animation</div></li><li><div>
Experiment with and analyze motion capture and key-framed animation datasets</div></li><li><div>
Collaborate with a cross-functional team to integrate and test new methods within existing animation workflows</div></li><li><div>
Review relevant AI/ML literature to identify emerging methods, technologies, and baseline approaches</div></li><li><div>
Document research findings and present results to the broader research team and other stakeholders</div></li><li><div>
Contribute to the publication of research papers and patents based on your findings</div></li></ul><div></div><div>
Minimum Qualifications</div><ul><li><div>
Full-time student pursuing an MS or Ph.D. (preferred) in Computer Science, Graphics, Machine Learning or similar in an accredited program with at least one academic term to complete post-internship</div></li><li><div>
Proven experience in machine learning, with a focus on motion generation or character animation</div></li><li><div>
Strong programming skills in Python and familiarity with machine learning frameworks like TensorFlow or PyTorch</div></li><li><div>
Experience conducting research and publishing results</div></li></ul><div></div><div>
Preferred Qualifications</div><ul><li><div>
Previous publications in the field of motion generation</div></li><li><div>
Experience with Transformer and Diffusion-based models</div></li><li><div>
Experience developing for character animation tools like Maya or 3ds Max</div></li><li><div>
Passion for and experience in the character animation and/or visual effects industry</div></li></ul><div></div><div>
Learn More</div><div></div><div>
About Autodesk</div><div>
Welcome to Autodesk! Amazing things are created every day with our software &ndash; from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.</div><div></div><div>
We take great pride in our culture here at Autodesk &ndash; it&rsquo;s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.</div><div></div><div>
When you&rsquo;re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!</div><div></div><div><div><div><div><div><div><div><div>
Salary Transparency</div></div></div></div></div></div></div></div><div>
Salary is one part of Autodesk&rsquo;s competitive compensation package. Offers are based on the candidate&rsquo;s experience, educational level, and geographic location, and can exceed this range.</div><div></div><div>
For U.S.-based roles, we expect a starting annualized intern base salary to be between:</div><ul><li>
$47,840 and $95,680 (undergraduate students)</li><li>
$72,800 and $118,500 (Masters/MBA students)</li><li>
$118,560 and $162,240 (PhD students)</li></ul><div></div><div>
Equal Employment Opportunity</div><div>
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.</div><div></div><div>
Diversity &amp; Belonging<br>
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: <div>https://www.autodesk.com/company/diversity-and-belonging</div></div></div>

PhD Intern, AI Research Scientist, Motion Generation

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